PortfolioMetrics

ACM9 vs. IQQ6 - ETF Comparison

ACM9 - Amundi ETF MSCI World ex EMU UCITS ETF EUR (C)

The Amundi ETF MSCI World ex EMU UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI World ex EMU index, providing investors with exposure to developed markets outside of the European Monetary Union. The fund uses a synthetic replication method and has a total expense ratio of 0.35% per annum. It is a large-cap fund with a long-only strategy and does not distribute dividends, instead reinvesting them in the fund.

IQQ6 - iShares Developed Markets Property Yield UCITS ETF

The iShares Developed Markets Property Yield UCITS ETF is a real estate-focused exchange-traded fund that tracks the FTSE EPRA/NAREIT Developed Dividend+ index, providing exposure to listed real estate companies and REITs from developed countries worldwide with a forecast dividend yield of 2% or greater.

ACM9IQQ6
Fund NameAmundi ETF MSCI World ex EMU UCITS ETF EUR (C)iShares Developed Markets Property Yield UCITS ETF
Fund ProviderAmundiBlackRock
IndexMSCI World ex EMUFTSE EPRA/NAREIT Developed Dividend+
Asset ClassEquityReal Estate
ListingEU-listedEU-listed
Expense Ratio0.35%0.59%
Inception Date2009-06-292006-10-20
CurrencyEURUSD
Distribution PolicyAccumulatingDistributing
RegionDeveloped MarketsDeveloped Markets
Investment StyleBlendDividend
Market CapLarge-CapBlend
LeveragedNon-leveragedNon-leveraged
Invert Comparison

Select Timeframe

Key Metrics

Run the backtest to get the results

Performance Metrics

Run the backtest to get the results

Risk Metrics

Run the backtest to get the results

Detailed Returns

Run the backtest to get the results

Benchmark Comparison

Run the backtest to get the results

Key Metrics

Run the backtest to get the results

Performance Metrics

Run the backtest to get the results

Risk Metrics

Run the backtest to get the results

Detailed Returns

Run the backtest to get the results

Benchmark Comparison

Run the backtest to get the results

Performance Analysis

The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.

Cumulative Returns

Run the backtest to get the results

End of Year Returns Table

Run the backtest to get the results

End of Year Returns

Run the backtest to get the results

Risk Analysis

The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.

Drawdowns

Run the backtest to get the results

Drawdowns Table

Run the backtest to get the results

Monte Carlo Simulation

The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.

IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.

Monte Carlo Metrics

Run the backtest to get the results

Simulated Portfolio Prices

Run the backtest to get the results